Top Hybrid Machine Learning Engineer Jobs

The Principal ML Engineer at Agero will develop and productionize a Dispatch System using ML models, optimize decision-making processes, and lead a team to improve operational performance.

As a Lead AI Engineer, you will design, develop, and scale backend and ML systems, mentor engineers, and collaborate to create predictive ML solutions.

As a Staff AI Software Engineer, you'll develop and optimize scalable AI applications, manage deployment pipelines, and collaborate with cross-functional teams to drive innovative solutions.

Lead the machine learning strategy, design scalable ML systems, drive MLOps, mentor engineers, and comply with AI governance.

Design and develop AI/ML solutions, manage backend services and APIs, integrate AI tools, and ensure scalable deployments in healthcare applications.

The Applied Scientist will tackle various machine learning problems, enhance valuation systems, and deploy deep learning models while collaborating with cross-functional teams.

The Senior Machine Learning Engineer at DraftKings will design scalable ML pipelines, optimize models, implement monitoring systems, and lead technical initiatives in AI development.

Develop and manage annotation tools for geospatial data, ensure secure data hosting, collaborate with teams, and automate workflows.

Lead the design and delivery of advanced analytics and machine learning solutions, mentoring junior team members, and driving data quality initiatives to translate business needs into actionable insights.

Develop and scale machine learning systems to enable AI coaching, collaborate across teams for member insights, and contribute to architectural decisions.